A business case for care coordination must tie the program to one executive financial metric, such as avoidable emergency department visits or total cost of care, and show projected net savings or cost-neutrality within a defined payback period. The case needs a baseline trend, a conservative projected impact, a program cost, and a sensitivity range. This article covers the ROI template, the evidence base, program design tradeoffs, and how to message the ask to a CFO or CEO.
TL;DR:
- The primary metric should be frequently tracked, attributable, and measurable, with avoidable emergency department visits often being the most suitable choice.
- An effective business case requires baseline data, a conservative projected impact, detailed program costs, and sensitivity analysis to account for variability.
- Program design choices, such as caseload intensity and use of technology for closed-loop referral tracking, significantly influence both outcomes and costs.
- Supporting evidence from systematic reviews emphasizes risk-based targeting and high-intensity, multidisciplinary approaches for better results.
- Sustainment options include billing codes, value-based contracts, and grants, but internal reallocation based on demonstrated ROI often offers the fastest path to long-term funding.
Table of Contents
- What executive decision-makers need to see
- Core financial metrics and a practical ROI framework
- What the evidence says about care coordination outcomes
- Program design choices that change impact and cost
- Building the business case model and executive summary
- Messaging the ask and handling objections
- Sustainability options after the pilot proves out
- Measurement and reporting to sustain leadership support
- How WellCheck supports the business case behind the scenes
- Sources
- FAQ
What executive decision-makers need to see
A program director and a chief financial officer read the same outcome data differently. The program director sees improved follow-through on referrals. The finance office sees a line item that either reduces cost or does not. Closing that gap means translating clinical and operational results into the metric each stakeholder already tracks.
Different executives respond to different numbers. A CFO wants avoidable emergency department (ED) visits and net cost impact. A chief medical officer wants readmission rates. Operations leaders want bed-days and staffing utilization. A population health lead wants closed-loop referral completion, since that metric predicts whether the other numbers will move at all. Naming these audiences before you write the business case keeps the document from trying to be everything to everyone.
Pick one primary metric and build the entire case around it. Three criteria decide which metric to choose: frequency (does it happen often enough to detect a change within a year), attribution (can you reasonably tie the change to your program rather than to unrelated trends), and measurability (do you already have a reliable data source for it). Avoidable ED visits usually win on all three, since claims and EHR systems track them consistently and the CMS Accountable Health Communities spotlight has already shown this metric can be built into a defensible savings model.
Executives expect a minimum evidence package before they approve funding, not a narrative of good intentions. That package includes:
- A baseline trend: 12 to 24 months of historical data on the primary metric for your target population.
- A named data source: EHR extract, claims feed, or referral platform report, so finance can audit the number.
- A projected impact range: a conservative percentage reduction supported by published evidence, not an internal guess.
- A program cost estimate: staffing, technology, and training costs for the proposed model.
- A sensitivity analysis: best, expected, and worst-case outcomes so leadership sees the downside risk.
Before drafting the case, assign owners to each analytic pull: finance or BI usually owns cost-per-event data, the program team owns baseline utilization queries, and the quality or population health office typically owns risk-stratification criteria. Naming owners early prevents the business case from stalling in a data request queue for weeks before the first draft is even written.
Core financial metrics and a practical ROI framework
Five metrics recur in nearly every care coordination business case: avoidable ED visits, unplanned hospital admissions, 30-day readmissions, bed-days, and average cost per event. Each one maps to a different part of the cost structure, and a strong business case usually leads with one and treats the others as supporting evidence.
Building the ROI model follows a consistent sequence:
- Define the target population using clear inclusion criteria (for example, patients with two or more ED visits in six months, or a specific chronic condition cohort).
- Pull the baseline trend for your primary metric over the prior 12 to 24 months for that population.
- Calculate average cost per event using finance’s charge or allowed-payment data, specific to your payer mix.
- Apply a conservative effect estimate drawn from published evidence rather than an optimistic internal target.
- Multiply the projected reduction in events by the average cost per event to estimate gross savings, then subtract program operating cost to get net savings.
- Divide program cost by monthly net savings to estimate the payback period in months.
A worked illustration, using generic placeholder numbers: a program serving a certain number of high-utilizer patients with a baseline number of avoidable ED visits per year at an average cost per visit. When the program reduces avoidable ED visits by a modest percentage, it generates gross avoided costs. Against a program cost accrued yearly, net savings might be negative in the first year, leading to a payback period longer than twelve months rather than a same-year win. That is the kind of arithmetic a CFO expects to see spelled out, including situations where the case is not yet break-even.
The Reading Hospital AHC implementation reported a 15% decline in avoidable ED visits in Year 1 and an estimated $1 million in savings tied to screening, referral, and navigation activities. (CMS Accountable Health Communities spotlight) That figure is useful as a benchmark for what a mature, well-targeted program can achieve, not as a guarantee for a first-year pilot.
Build a three-scenario sensitivity table around your central estimate: a worst case using the low end of published effect ranges, an expected case using the midpoint, and a best case using the high end. This protects the business case when early outcome data are noisy, which they usually are in the first two quarters.
The most common attribution pitfall is crediting the program for a reduction that was already underway before the intervention started, or for a shift caused by an unrelated policy change. Handle this conservatively by comparing your cohort against a matched group or against its own pre-period trend, and by stating the attribution method explicitly in the appendix.
What the evidence says about care coordination outcomes
Executives will ask, directly or not, whether care coordination actually works. The honest answer is that effects are inconsistent across the field as a whole, and the programs that succeed tend to share specific design features.
A systematic review and key informant interview study found that care coordination interventions produce variable effects on hospitalizations and ED visits overall. The interventions that performed better shared two traits: they used risk-based targeting to focus resources on patients most likely to benefit, and they operated at higher intensity, often through multidisciplinary teams rather than a single coordinator managing a broad caseload.
A related systematic review of programs linking health and social services identified common structural elements across programs that reported reduced utilization and cost: standardized needs assessment, in-person contact rather than phone-only outreach, and consistent protocols for follow-up. Several of the evaluated programs reported reductions in ED use and cost, though the review does not support a single universal effect size.
At the implementation level, a cluster randomized trial of an integrated care coordination information system found that clinics using the system performed 1.8 times the coordination activities of control clinics, with early signals of reduced bed-days, while findings on ED visits were mixed. A separate systematic review of ED-based transitional care interventions for older adults found that structured needs assessment paired with discharge-planning coordination was associated with reduced admissions and ED revisits across multiple studies.
Effective interventions were more likely to use risk-based targeting and higher-intensity, multidisciplinary approaches, while overall evidence on hospitalization and ED effects remained mixed.
When you cite this evidence in your appendix, use ranges rather than point estimates and note the evaluation design behind each figure, whether it was a randomized trial, a cluster study, or an internal program assessment. Attach these trust signals directly to the claims they support:
- The AHC spotlight, for avoidable ED visit reduction and dollar savings.
- The ICCIS trial, for process fidelity and bed-day signals.
- The systematic reviews, for expected ranges and design features that predict success.
Program design choices that change impact and cost
The same care coordination label covers very different operating models, and the model you choose changes both the expected outcome and the budget line.
Embedded care managers, working inside a primary care practice or clinical team, tend to see higher patient engagement than centralized, remote care management programs. A comparative study snapshot from AHRQ found that provider-delivered, embedded care management had higher engagement rates and greater cost savings than plan-based remote programs. Centralized models cost less per patient to run but tend to produce a weaker signal, which matters when your business case depends on demonstrating measurable change within a fixed evaluation window.
Navigation paired with clinical case management is often the right middle ground for populations with both social and medical needs: a navigator handles logistics and social service connections while a clinical case manager handles medication reconciliation and care plan adherence, splitting cost and clinical risk across two roles instead of loading both onto one coordinator.
Caseload intensity is the lever most directly tied to both effect size and cost. A coordinator managing 40 to 60 high-need patients with regular home visits and weekly contact will produce a stronger outcome signal than one managing 150 patients with quarterly phone check-ins, but the staffing cost scales accordingly. A rough planning band: intensive, home-visit-based models typically run one full-time coordinator per 50 to 75 patients, while lighter-touch telephonic models can run one coordinator per 150 to 250 patients. Budget the model to match the acuity of the population you are targeting, not the other way around.
Technology closes a gap that intensity alone cannot fix: unmeasured loss to follow-up. A referral sent without tracking whether it was accepted, delivered, or resolved leaves a program unable to report on the thing that actually drives outcomes, follow-through. Closed-loop referral tracking and outcomes dashboards shorten the time between an intervention and a measurable result, which matters directly for your payback period calculation. Programs designing this piece from scratch often benefit from reviewing established community case management strategies before finalizing workflow.
Staffing costs are driven as much by onboarding time as by salary. A new care coordinator or community health worker who needs three months to reach full competency delays the program’s ability to generate results, which stretches the payback period on paper even if the underlying effect is sound. A standardized training curriculum, delivered through a learning management system rather than ad hoc shadowing, shortens that ramp.
Pro Tip: Model your staffing cost using the caseload band your intensity level requires, not an average FTE ratio borrowed from a different program design.
Building the business case model and executive summary
Turning the evidence and the ROI framework into a document leadership will act on follows a specific sequence, not a single writing session.
- Week 1 to 2: Define the target population and pull the baseline. The program team, working with BI or finance, extracts 12 to 24 months of ED visits, admissions, or the chosen primary metric by payer for the target cohort.
- Week 3: Calculate cost per event. Finance supplies charge or allowed-payment data specific to the payer mix, avoiding national averages that will not survive a CFO’s scrutiny.
- Week 4: Apply a conservative effect estimate drawn from the systematic reviews and spotlights covered above, and build the three-scenario sensitivity table.
- Week 5 to 6: Scope a small pilot (typically 3 to 6 months) with a defined cohort size, staffing plan, and a go or no-go checkpoint tied to the primary metric.
- Month 6: Run the evaluation against the pre-period baseline and present interim results, even if the outcome metric has not fully matured yet.
Coordinating the data pulls requires early agreement with BI and finance on three specific queries: ED visits by payer for the target cohort, utilization history for the same population over the baseline period, and average cost per event by service type. Requesting these as a single combined data request, rather than three separate tickets, tends to move faster through most BI queues.
An ROI spreadsheet skeleton needs, at minimum: target population size, baseline event count and cost, program cost by category (staffing, technology, training), projected event reduction under each sensitivity scenario, projected gross savings, net savings after program cost, and payback period in months. Keep every input cell linked to a cited source or a clearly labeled assumption.
The one-slide executive summary should contain:
- A headline claim: “This program is projected to reduce [primary metric] by [X to Y%] within [timeframe], producing net savings of [$ range] against a program cost of [$ amount].”
- The baseline trend and data source in one line.
- The three-scenario sensitivity range in a compact table.
- The pilot scope and go or no-go criteria.
- The funding ask and decision needed.
A practical 9-step referral implementation plan can serve as the operational backbone for the pilot phase once the business case is approved.
Messaging the ask and handling objections
Different executives need different framing of the same evidence. A short message tailored to each audience moves the conversation faster than a single generic pitch repeated to everyone in the room.
- CFO: lead with net cost impact and payback period, anchored to avoidable ED visits or total cost of care.
- CMO: lead with readmission reduction and the clinical rationale for risk-based targeting.
- COO: lead with bed-days and staffing utilization, since these affect daily operations directly.
- Population health lead: lead with closed-loop referral completion, the process metric that predicts whether outcome metrics will move at all.
Three objections come up in nearly every business case review. On attribution uncertainty, respond by showing the pre-period trend and the matched comparison method used, rather than claiming certainty the data does not support. On upfront cost, respond with the payback period and the sensitivity table rather than the point estimate alone, since it shows leadership you have already modeled the downside. On competing priorities, respond by tying the primary metric to a cost center leadership already tracks quarterly, which makes the ask a budget conversation rather than a new initiative.
Set clear decision milestones before the pilot begins: agreed pilot scope and cohort size, a defined evaluation window, and go or no-go criteria tied explicitly to movement in the primary metric, not to secondary or anecdotal signals.
Sustainability options after the pilot proves out
A successful pilot creates a new problem: how to fund the program past the initial budget cycle. Three routes recur most often.
- Billing and coding pathways: CMS advanced primary care management services pages list current guidance for care management billing codes, and any revenue assumption in your model should be checked against the current CMS page before it goes into a funding request, since code definitions and reimbursement policy change.
- Value-based contracts and shared savings: pilot outcomes that show measurable reduction in avoidable utilization can support a reinvestment argument to a payer under a shared savings or alternative payment model arrangement, particularly where the AHC model evaluation found navigation services produced larger reductions when paired with other value-based reforms.
- Grant and philanthropic funding: useful as bridge funding while a program builds the evidence base needed for internal reallocation or a payer contract, but not a substitute for a sustainability plan, since grant cycles rarely align with a program’s long-term staffing needs.
Internal reallocation, moving budget from a cost center where the program has demonstrated avoided spend, is often the fastest sustainability path when the ROI model already ties the program to that specific budget line.
Measurement and reporting to sustain leadership support
A dashboard built for a business case needs to answer two questions at a glance: is the primary metric moving, and is the program running as designed. Core dashboard elements include the primary outcome metric with its trend line, secondary utilization metrics (admissions, bed-days), and process KPIs, chiefly closed-loop referral completion rate and patient contact rate.
A cluster randomized trial found that clinics using an integrated care coordination system performed 1.8 times the coordination activities of comparison clinics. (AHRQ ICCIS final report) That kind of process metric is available months before outcome data matures, and it is exactly what should appear in an early executive update.
A workable cadence:
- Monthly, operational: referral volume, closed-loop completion rate, contact rate, and any staffing or workflow issues, reviewed by the program team.
- Quarterly, executive finance: primary metric trend against baseline, updated sensitivity range, and progress against the payback timeline, reviewed with finance and sponsoring leadership.
While outcome metrics are still maturing, present process wins explicitly as leading indicators rather than as the final result, so leadership understands the distinction and does not expect the payback calculation to close early. A dashboard reference built for program directors lays out this structure in more detail.
How WellCheck supports the business case behind the scenes
Building the ROI model in this article is one problem. Proving, month over month, that referrals were actually completed is a separate one, and it is usually the harder piece to solve with spreadsheets alone.
EquiLoop is a closed-loop referral and care coordination platform built for the workflow gap most business cases run into: a referral gets sent, and no one downstream can confirm whether it was accepted, delivered, or resolved. The platform manages SDoH screening and intake, routes referrals to clinical and community partners, tracks follow-up status, and produces outcomes dashboards and reports suitable for executive review. It is configured around the partner network and reporting requirements your organization already has, and it is built to sit alongside existing systems of record rather than replace them.
A workforce development training platform can support onboarding community health workers, navigators, and care coordinators, which may shorten the ramp-up period that otherwise stretches a program’s payback timeline.
Scoping a pilot around these two pieces is worth a direct conversation. Useful items to bring to that conversation:
- Your target population size and primary metric.
- Current referral tracking method, whether manual, spreadsheet-based, or already digital.
- Staffing plan and expected caseload per coordinator.
- Reporting requirements from your funder or payer.
Schedule a 30-minute demo to walk through pilot scoping against your specific data and reporting needs.
Sources
- Care coordination models and tools — systematic review and key informant interviews
- Making the Business Case for Addressing Health-Related Social Needs (CMS AHC spotlight)
- Enhancing complex care through an integrated care coordination information system (AHRQ final report)
FAQ
What is care coordination in case management?
Care coordination is the organized set of activities that connects a patient’s clinical and social needs to the right services and tracks whether those referrals were completed. In case management, it typically sits alongside needs assessment and care planning as one function within a broader case management process.
What are the four types of coordination of care?
Definitions vary across health systems, but a common framework distinguishes coordination within a care team, across care settings (such as hospital to primary care), between health and social services, and over time as a patient’s needs change. Most published models emphasize the transitions between settings as the highest-risk point for breakdowns.
What are examples of care coordination?
Common examples include a discharge planner arranging follow-up appointments and home health after a hospital stay, a navigator connecting a patient to food or housing assistance alongside clinical care, and a care manager tracking medication adherence for a patient with multiple chronic conditions. Closed-loop referral tracking, confirming a referral was accepted and completed rather than just sent, is an operational example that supports several of these functions at once.
What is the difference between a care coordinator and a case manager?
A care coordinator typically focuses on connecting a patient to services and tracking follow-through across providers and community resources, often including social needs. A case manager usually carries broader responsibility for a patient’s overall care plan, including clinical decision points, and the two roles frequently overlap in practice depending on how a program is structured.
How long does it take to see ROI from a care coordination program?
Payback periods vary widely depending on program intensity and the metric tracked, and a conservative business case should model a range rather than a single timeframe. The Reading Hospital AHC spotlight reported measurable savings within the first year, but that reflects a specific, well-targeted implementation rather than a guaranteed timeline for every program.
